Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden and meets it: it discloses that step 1 is a non-committing validation returning a summary/consent line/token, that submission triggers a double-opt-in email link that must be clicked before any provider sees the data, and spells out the exact consent semantics. It also states the consequence (contact details shared with up to three suppliers) that an agent must be able to relay.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Long, but front-loaded with the highest-value caveat ('NOT a purchase, NOT a guaranteed quote') and structured as Step 1 / Step 2, so an agent can act on it. The verbatim consent paragraph is repeated from the schema, which is mild redundancy against an otherwise dense, waste-free block.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description compensates fully: it names the return artifacts of step 1 (summary, consent line, token) and the downstream effect of step 2 (email with a click-through link before provider visibility). An agent has everything needed to run the flow correctly and to explain it to the person.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning beyond the schema: it explains that 'answers' must be keyed by field key sourced from the enquiry_fields sibling (the schema only says 'keyed by field key'), and it ties 'confirmation' to the step-1 return value as part of a gated flow. The consent text is largely duplicated from the schema, which caps this below 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (submits) and resource (an enquiry to Compare Vet Software's providers) and immediately distinguishes it from what an agent might assume with 'NOT a purchase, NOT a guaranteed quote'. The sibling set (compare_*, enquiry_describe, enquiry_fields) is clearly separated: this is the submission step, not a comparison or field-lookup.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit two-step protocol with conditions: Step 1 call with answers+consent=true to validate and get a token; Step 2 call again with the token only if the person agrees. It also names the prerequisite sibling ('field key from enquiry_fields'). Nothing about when to invoke each step is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.